Advanced Deep Learning Techniques @ KL University, Vaddeswaram

Participants Information

Participants: 59
Speakers:04
Female participants:28
Male participants:31
Participants from SC/ST category:01
Research Scholars:6

Lab Sessions

  • Deep Learning with Keras
  • Image Segmentation using CNN
  • Image Classification with CNN
  • Tensor Flow

Topics Covered

  • Introduction to Deep Learning
  • Deep Learning Fundamentals
  • Applications of Deep Learning
  • Case Study Demo
  • Overview of Neural Networks
  • Introduction to Keras
  • Deep Learning Architectures
  • Image Segmentation – Overview
  • Deep learning and Medical Segmentation Analysis with Keras
  • Language Models
  • Word Embeddings
  • Sequence Labeling with CRF
  • Entity Recognition and POS Tagging Applications
  • Attention Models

Highlights

List of Speakers

Dr. Chakravarthy Bhagvati,Professor, University of Hyderabad, Hyderabad


M. Srinivas, Research Scholar, IIIT, Hyderabad


Dr. Nagesh Bhattu sristi, Assistant Professor, NIT Andhra Pradesh


Dr. D. V. L. N. Somayajulu, Professor & Director, IIITDM, Kurnool




Feedback Summary

  • The Participants found the hands on sessions to be a major advantage for them.


  • Resource Persons are the major strength of the programme.


  • FDP started off with the basic topics before the advanced topics were further covered within the session. Many of the participants being new to Deep Learning found this to be a major advantage to themselves.

  • The configurations used within the system were up to par and all the participants found no problems with them.

    • Suggestions from Participants

  • More Lab sessions should be included.